This podcast episode is all about semantic search and using embeddings to analyse text and social media data.

Dominik Weckmüller, a researcher at the Technical University of Dresden, talks about his PhD research, where he looks at how to analyze text with geographic references. 

He explains hyperloglog and embeddings, showing how these methods capture the meaning of text and can be used to search big databases without knowing the topics beforehand.

Here are the main points discussed:

1. Intro to Semantic Search and Hyperloglog: Looking at social media data by counting different users talking about specific topics in parks, while keeping privacy in mind.

Connect with Dominik Weckmüller here https://geo.rocks/

Stay up to date with AI here

https://huggingface.co/ Try searching for “map”  here https://huggingface.co/spaces

Check out this project I am working on 

https://quickmaptools.com/